Nils Hülsmeier

Nils Hülsmeier

M. Sc.

Office: NW1, W2190

Tel: +49 421 218 62549

Fax: +49 421 218 98 62549

Mail: Huelsmeier(at)


    - Machine learning and deep learning for digital signal processing and image recognition
    - Efficient hardware architectures for machine learning algorithms


    - Grundlagen Integrierter Schaltungen (Sommersemester)
    - Skriptsprachen für Ingenieurinnen und Ingenieure (Sommersemester)



Towards Dynamic Fault Tolerance for Hardware-Implemented Artificial Neural Networks: A Deep Learning Approach
D. Gregorek, N. Hülsmeier and S. Paul, IEEE International Conference on Robotics and Automation (ICRA) 2021 Workshop, Xian, June 2021

SORN-based Cascade Support Vector Machine
Nils Hülsmeier, MoritzBärthel, Jochen Rust and Steffen Paul, 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, 2020

Stochastic Fourier-Transformation Implementation for PVTAR Fault Effects
Kris Niederkleine, Nils Hülsmeier, Theodor Hillebrand, Jochen Rust, Steffen Paul, 7th International Workshop on Analogue and Mixed-Signal Integrated Circuits for Space Applications (AMICSA 2018), Leuven, Belgium, June 2018.

High Throughput Architecture for Inpainting-Based Recovery of Correlated Neural Signals
Sebastian Schmale, Jochen Rust, Nils Hülsmeier, Heiner Lange, Benjamin Knoop, Steffen Paul, 24nd European Signal Processing Conference (EUSIPCO 2016), Budapest, Hungary, September 2016.

Aktualisiert von: A. Avenius